Design RAG queries with mandatory citation attribution and chunk-level provenance.
npx skills add https://github.com/Agentient/vibekit --skill advanced-query
Please help me install this Agent Skill. Skill: advanced-query Source: https://github.com/Agentient/vibekit/tree/main/plugins/rag-tools/skills/advanced-query Command: npx skills add https://github.com/Agentient/vibekit --skill advanced-query
Advanced planning and design for retrieval-augmented queries with strict citation provenance to enable traceable sources and chunk-level metadata across results.
Outline and implement the planned RAG query patterns with mandatory citation attribution when ready.
High-intent search queries and answers about installing and using this skill.
To add citation attribution to RAG queries, you design retrieval patterns that track source URIs, chunk identifiers, and offsets. This preserves provenance and ensures traceable sources across multi-document knowledge bases.
Provenance-driven ranking in retrieval-augmented generation filters and ranks results based on source attribution metadata. It uses confidence metrics and chunk tracking to ensure retrieved answers map to traceable origins.
You track chunk IDs and source mapping by implementing retrieval queries with mandatory citation metadata. This requires defining input and output contracts that preserve chunk-level identifiers and source URIs throughout the pipeline.
Citation-aware querying does not require specific external dependencies to design the query patterns. You integrate the planned retrieval contracts and attribution metadata directly into your existing RAG pipeline.
The best way to structure contracts for RAG provenance is to define schemas that enforce mandatory citation attribution. These contracts specify chunk identifiers, confidence metrics, and source URIs to maintain strict traceability.
Your RAG pipeline loses source attribution when queries lack mandatory citation metadata and strict provenance tracking. Designing queries with chunk identifiers and confidence metrics prevents this loss across documents.
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